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Use Critical Sub-graph to Optimize the In-building Shortest Path Algorithm

机译:使用关键子图来优化建立的最短路径算法

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The intelligentize and complication of buildings has fostered an interest in navigation inside buildings. This paper presents algorithm for shortest path searching inside building based on critical sub-graph. By the feature that some vertices of the in-building path graph are crucial for shortest path searching, the paper gives the definitions of the critical vertex and critical sub-graph and proposes a critical sub-graph based shortest path searching algorithm. The proposed algorithm skips over unimportant vertices so that the search space is greatly narrowed. The performance of the proposed algorithm is better optimized in contrast to the corresponding algorithms based on the whole path graph. The efficiency of the proposed algorithm has been confirmed by the experiments on real-world in-building path graph.
机译:建筑物的智能化和复杂化已经促进了在建筑物内导航的兴趣。本文介绍了基于临界子图的建筑物内部最短路径搜索算法。通过建筑路径图的某些顶点对于最短路径搜索至关重要的特征,纸张提供了关键顶点和关键子图的定义,并提出了一种基于临界的子图的最短路径搜索算法。所提出的算法跳过不重要的顶点,使得搜索空间大大缩小。与基于整个路径图的相应算法相比,该算法的性能更好地优化。建议算法的效率已经通过实验在现实世界建立路径图上进行了确认。

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